Comparison of EBLUP and EBLUP Modification in Estimating Small Areas (Study : Percentages of Poverty in Bogor District)

Authors

  • Hary Merdeka  Department of Statistics, Bogor Agricultural University, Bogor, West Java, Indonesia
  • Kusman Sadik  Department of Statistics, Bogor Agricultural University, Bogor, West Java, Indonesia
  • Indahwati  Department of Statistics, Bogor Agricultural University, Bogor, West Java, Indonesia

DOI:

https://doi.org/10.32628/IJSRSET21841116

Keywords:

Small Area Estimation, EBLUP, Fixed-Effect, Random-Effect, EBLUP Modification, Percentage of Poverty

Abstract

A small area of the sample occurs when the sample size is very small. A large error will get if the parameters estimation is done with small the sample. One method to overcome it using a small area estimation (SAE) method. A small area estimator is a statistical technique to estimate the parameters of a sub-population with a small sample size. Estimates in the small area estimator method is based on the model and are indirect estimates. In this study the indirect method used is the EBLUP method and the modification of EBLUP estimator. The results of the alleged percentage of poverty in the Bogor district show that the EBLUP modification method is better compared to the expected method directly. This is based on the average of the RRMSE obtained.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-12-30

Issue

Volume 4, Issue 11, November-December-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Hary Merdeka, Kusman Sadik, Indahwati "Comparison of EBLUP and EBLUP Modification in Estimating Small Areas (Study : Percentages of Poverty in Bogor District)" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 11, pp.160-168, November-December-2018. Available at doi : https://doi.org/10.32628/IJSRSET21841116